Description: Shop Home Items For Sale Feedback Contact Us MLOPS ENGINEERING AT SCALE Deploying a machine learning model into a fully realized production system usually requires painstaking work by an operations team creating and managing custom servers. Cloud Native Machine Learning helps you bridge that gap by using the pre-built services provided by cloud platforms like Azure and AWS to assemble your ML system's infrastructure. Following a real-world use case for calculating taxi fares, you'll learn how to get a serverless ML pipeline up and running using AWS services. Clear and detailed tutorials show you how to develop reliable, flexible, and scalable machine learning systems without time-consuming management tasks or the costly overheads of physical hardware. about the technologyYour new machine learning model is ready to put into production, and suddenly all your time is taken up by setting up your server infrastructure. Serverless machine learning offers a productivity-boosting alternative. It eliminates the time-consuming operations tasks from your machine learning lifecycle, letting out-of-the-box cloud services take over launching, running, and managing your ML systems. With the serverless capabilities of major cloud vendors handling your infrastructure, you're free to focus on tuning and improving your models. about the book Cloud Native Machine Learning is a guide to bringing your experimental machine learning code to production using serverless capabilities from major cloud providers. You'll start with best practices for your datasets, learning to bring VACUUM data-quality principles to your projects, and ensure that your datasets can be reproducibly sampled. Next, you'll learn to implement machine learning models with PyTorch, discovering how to scale up your models in the cloud and how to use PyTorch Lightning for distributed ML training. Finally, you'll tune and engineer your serverless machine learning pipeline for scalability, elasticity, and ease of monitoring with the built-in notification tools of your cloud platform. When you're done, you'll have the tools to easily bridge the gap between ML models and a fully functioning production system. what's inside Extracting, transforming, and loading datasetsQuerying datasets with SQLUnderstanding automatic differentiation in PyTorchDeploying trained models and pipelines as a service endpointMonitoring and managing your pipeline's life cycleMeasuring performance improvements about the readerFor data professionals with intermediate Python skills and basic familiarity with machine learning. No cloud experience required. about the author Carl Osipov has spent over 15 years working on big data processing and machine learning in multi-core, distributed systems, such as service-oriented architecture and cloud computing platforms. While at IBM, Carl helped IBM Software Group to shape its strategy around the use of Docker and other container-based technologies for serverless computing using IBM Cloud and Amazon Web Services. At Google, Carl learned from the world's foremost experts in machine learning and also helped manage the company's efforts to democratize artificial intelligence. You can learn more about Carl from his blog Clouds With Carl. Reading Essentials Bestsellers Mystery & Thrillers Children's Books View all categories Welcome to BookWanderers Our eBay store offers Discover an extensive selection of titles for every reader's taste - fiction, history, culinary, self-improvement, and more. Enjoy a seamless online shopping experience, explore, and acquire your favorite reads from home. eBay Message Payment We accept PayPal, and all major credit cards & debit cards,please message us for details if needed. Shipping We are normally take 1 business days shipped your order. We Standard Delivery with tracking. We provide 100% FREE shipping on all orders Returns If you have a problem with the items you purchased from us or if you have any questions or concerns, please contact us before leaving any type of feedback, and we will do our best to make things right for you. Buyers have 30 days (unless mentioned otherwise) to return their item for full refund or exchange. Return shipping is to be paid by the buyer unless the item is defective or not as described. Please return the item in original packaging and condition as received. Why customer’s love us? "Thank you for delivering so quickly tried my fryer out a few times now very pleased" Buyer: M***5 (165) "Exactly as described. Very pleased with the transaction. Thank you." Buyer: E***3 (447) "Thank you for an easy, pleasant transaction. Excellent buyer. A++++++." Buyer: B***D (77744) "Quick Delivery, Good Service & good price, no problems would use again A+++" Buyer: O***K (3019) View All Reviews Useful Links Store Home Feedback Items For Sale Contact Us New Arrivals Shop with Secure Payment © Copyright 2023, New Age Quality UK. All rights reserved. Made with by newAgeDesignUK.org
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Location: Leicester, England
End Time: 2025-01-18T18:08:14.000Z
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Book Title: MLOPS ENGINEERING AT SCALE
Topic: Microservices, Software Architecture, Cloud Computing
Book Series: NA
Item Weight: 628
Genre: Computers, Programming, Technology
Original Language: English
Country/Region of Manufacture: UK
Features: Practical MLOps strategies, Focus on scaling machine learning deployment, Case studies and real-world examples, Tools and technologies integral to MLOps, Best practices for collaboration between data scientists and oper
Narrative Type: Non-Fiction
Edition: NA
Intended Audience: Developers, Software Engineers, Computer Science Students
Item Length: 187
Item Width: 234
Item Height: 24
Signed: NO
Publisher: Manning
Publication Year: 2022
Subject: Computer Science
Number of Pages: 250 Pages
Language: English
Publication Name: Mlops Engineering at Scale
Type: Textbook
Author: Carl Osipov
Format: Paperback
